Published July 2012 | Version v1
Journal article

Optimal power flow using gravitational search algorithm

  • 1. Department of Electrical Education, Technical Education Faculty, Duzce University, Duzce (Turkey)
  • 2. Department of Electrical Technology, Gazi Vocational College, Gazi University, Ankara (Turkey)
  • 3. Department of Electrical Engineering, Engineering Faculty, Kocaeli University, Kocaeli (Turkey)

Description

Highlights: ► Gravitational search algorithm (GSA) has been proposed to find the solution for OPF. ► We determine optimal settings of control variables of OPF problem. ► The performance of the GSA has been sought and tested on the IEEE 30-bus and 57-bus test systems. ► The comparison verifies the influence of the proposed GSA approach over stochastic techniques. - Abstract: In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for optimal power flow (OPF) problem in a power system. The proposed approach is applied to determine the optimal settings of control variables of the OPF problem. The performance of the proposed approach examined and tested on the standard IEEE 30-bus and 57-bus test systems with different objective functions and is compared to other heuristic methods reported in the literature recently. Simulation results obtained from the proposed GSA approach indicate that GSA provides effective and robust high-quality solution for the OPF problem.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2012.02.024

Additional details

Identifiers

DOI
10.1016/j.enconman.2012.02.024;
PII
S0196-8904(12)00095-7;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
59
Journal Page Range
p. 86-95
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43081936
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; CONTROL THEORY; FUNCTIONS; MATHEMATICAL SOLUTIONS; OPTIMIZATION; PERFORMANCE; POWER SYSTEMS; STOCHASTIC PROCESSES
Descriptors DEC
ENERGY SYSTEMS; EVALUATION; MATHEMATICAL LOGIC; SIMULATION

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.